IoT Workplace Safety and Security, Monitoring with Cloud Processing

Project Overview

This project primarily focuses on demonstrating the integration of cloud processing and monitoring capabilities to efficiently manage sensor data. It showcases a system that adeptly collects sensor data and transmits it to a cloud infrastructure. The utilization of various cloud services enables effective processing and storage of this data.

Key Features

• Cloud Integration: Efficiently collects and transmits sensor data to the cloud for processing and storage.

• Cloud Services Utilization: Utilizes various cloud services for data processing and storage.

• Visualization through Website Interface: Showcases stored data visually via a website interface, enabling insights and informed decision-making.

• Analytics Tools Integration: Incorporates analytics tools for data analysis, providing deeper insights.

• Raspberry Pi Control: Demonstrates the system's capability to control the Raspberry Pi, triggering specific actions, highlighting its versatility and control over the IoT environment.

Project Components

1. Sensor Data Management: Efficiently manages data collected from various sensors.

2. Cloud Processing and Storage: Utilizes cloud services for processing and storing sensor data.

3. Data Visualization: Showcases data through a website interface for visual representation.

4. Analytics and Insights: Integrates analytics tools for deeper data analysis and insights.

5. Remote Control Functionalities: Enables control over the Raspberry Pi, showcasing the system's comprehensive capabilities.

This project serves as a comprehensive solution merging sensor data management, cloud processing, visualization, and remote control functionalities, highlighting the potential and versatility of IoT applications in real-world scenarios.

System Overview

Hardware/System

Upon running the Ctrl Board on the Pi, users are presented with the following options:

1. User check-in

   • Allows users to check in by entering their name and obtaining a temperature reading.
   • Data is sent via MQTT protocol to AWS IoT Core, then directed to a Lambda function for processing.
     • Lambda function evaluates user temperature for suitability to work.
     • Processed data is saved to DynamoDB. User receives a message confirming clearance.
     • LED on the board lights up if the user is cleared.

2. Work Time

   • Activates DHT11, MQ-2 Gas, and flame sensors.
   • Sensor data is sent to an AWS Lambda function for processing and storage in DynamoDB.
   • If fire is detected by the flame sensor, triggers an AWS SNS topic to send an email alert.

3. Off Work Turn On Security

   • Activates MQ-2 Gas, motion/collision, and flame sensors.
   • Sensor data sent to AWS Lambda function for processing and storage in DynamoDB.

4. Web Control

   • Waits for an MQTT message.
   • Triggers either the "Work Time" or "Off Work Turn On Security" function based on the received message.

5. Turn Off System

   • Terminates all connections and closes the program.

Cloud Processing & Monitoring (AWS Services)

1. AWS IoT Core

   • Uses MQTT for sending/receiving messages.
   • IoT Rules direct data to specific services (Lambda, IoT Analytics).

2. Lambda Function

   • Processes IoT data, sends it to DynamoDB, and triggers events (AWS SNS).

3. AWS Analytics

   • Utilizes IoT Analytics Channel, Pipeline, and Data Store to store raw data in an S3 bucket.
   • SageMaker enables data analysis through a Jupyter Notebook instance.

Website (PHP-based)

1. Login and Sign-up Pages

   • User authentication for system access.

2. Main Page

   • Displays processed data stored in DynamoDB.
   • Provides buttons for users to control work mode.

Flow Chart:

Hardware Components:

• Raspberry Pi: Microcontroller acting as the system's brain.

• DHT11 Temperature / Humidity Sensor: Detects surrounding temperature and humidity.

• Flame Sensor: Detects the presence of a flame in front of the sensor.

• MQ-2 Gas Sensor: Detects various gases like LPG, i-butane, propane, methane, alcohol, Hydrogen, and smoke in the surrounding.

• Collision Sensor: Detects collisions with the sensor.

• LED: Light emitting diode.

• ADC (Analog to Digital Converter): Converts analog signals to digital.

Technologies and Services:

• MQTT (MQ Telemetry Transport) Protocol: Lightweight, publish-subscribe, machine-to-machine network protocol, primarily used in IoT.

• AWS IoT Core: Managed cloud service facilitating secure communication between IoT devices and the AWS Cloud through MQTT.

• AWS IoT Analytics: Processes and analyzes IoT data at scale, enabling data collection, storage, processing, querying, and integration with other AWS services for comprehensive analytics.

• AWS DynamoDB: Fully managed NoSQL database service providing seamless scalability, high availability, and low-latency data storage and retrieval.

• AWS SageMaker: Platform for building, training, and deploying machine learning models at scale.

• Amazon S3 (Simple Storage Service): Scalable, secure, highly available object storage service for storing and retrieving any amount of data.

• AWS Lambda: Serverless computing service allowing code execution without server management.

• AWS SNS (Simple Notification Service): Fully managed messaging service for publishing and delivering messages to endpoints or distributed systems.

• IAM (Identity and Access Management) User: Represents a person or application in the AWS environment, granting specific permissions based on policies assigned by an AWS account administrator.

• User-end Website: Monitors and allows admin users to view employee health and workplace conditions. Implements security features like Strong Password Rule, Hashing, and Session Control.

  • Strong Password Rule: Requires users to input a strong password with uppercase, numbers, and symbols for signup.

  • Hashing: Converts plaintext passwords into irreversible hashed values before saving in the database, enhancing security.

  • Session Control: Authenticates, authorizes users, manages session timeouts, implements secure protocols (like HTTPS), and monitors for suspicious activities or unauthorized access within user sessions.

Circuitry:

Contributors for website: Kenichi, Gustavo, Thien